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1994 | ReviewPaper | Buchkapitel

Strategy adaptation by competing subpopulations

verfasst von : Dirk Schlierkamp-Voosen, Heinz Mühlenbein

Erschienen in: Parallel Problem Solving from Nature — PPSN III

Verlag: Springer Berlin Heidelberg

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The breeder genetic algorithm BGA depends on a set of control parameters and genetic operators. In this paper it is shown that strategy adaptation by competing subpopulations makes the BGA more robust and more efficient. Each subpopulation uses a different strategy which competes with other subpopulations. Numerical results are presented for a number of test functions.

Metadaten
Titel
Strategy adaptation by competing subpopulations
verfasst von
Dirk Schlierkamp-Voosen
Heinz Mühlenbein
Copyright-Jahr
1994
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/3-540-58484-6_264

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